Instructions to use Marqo/marqo-gcl-e5-large-v2-130 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marqo/marqo-gcl-e5-large-v2-130 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Marqo/marqo-gcl-e5-large-v2-130")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Marqo/marqo-gcl-e5-large-v2-130") model = AutoModel.from_pretrained("Marqo/marqo-gcl-e5-large-v2-130") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c153335ab988b5072a2e51f59b93cbd4f3cd6e19bd4348b8c318e3ade3f89f87
- Size of remote file:
- 1.34 GB
- SHA256:
- 8930812d163580f15c3560fe74058bf9fb96aaa7f31cd66741e1f62f7ba780d7
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